Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 42535 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 30.1 MiB |
| Average record size in memory | 741.3 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 8 |
| Boolean | 5 |
Hours of Work is highly correlated with Salary | High correlation |
Salary is highly correlated with Hours of Work | High correlation |
Hours of Work is highly correlated with Salary | High correlation |
Care of Children is highly correlated with Family | High correlation |
Family is highly correlated with Care of Children | High correlation |
Salary is highly correlated with Hours of Work | High correlation |
Hours of Work is highly correlated with Salary | High correlation |
Salary is highly correlated with Hours of Work | High correlation |
Owned Entity is highly correlated with Self Employed | High correlation |
English Proficiency is highly correlated with Ethnic | High correlation |
Maternity is highly correlated with Family | High correlation |
Working is highly correlated with Finding Work | High correlation |
Self Employed is highly correlated with Owned Entity | High correlation |
Finding Work is highly correlated with Working | High correlation |
Family is highly correlated with Maternity | High correlation |
Ethnic is highly correlated with English Proficiency | High correlation |
Ethnic is highly correlated with English Proficiency | High correlation |
English Proficiency is highly correlated with Ethnic and 1 other fields | High correlation |
Maternity is highly correlated with Care of Children | High correlation |
Working is highly correlated with Self Employed and 3 other fields | High correlation |
Self Employed is highly correlated with Working and 2 other fields | High correlation |
Owned Entity is highly correlated with Self Employed | High correlation |
Hours of Work is highly correlated with Working and 2 other fields | High correlation |
Finding Work is highly correlated with Working and 3 other fields | High correlation |
Care of Children is highly correlated with Maternity and 1 other fields | High correlation |
Education Level is highly correlated with English Proficiency and 1 other fields | High correlation |
Family is highly correlated with Care of Children | High correlation |
Salary is highly correlated with Working and 3 other fields | High correlation |
Hours of Work has 17251 (40.6%) zeros | Zeros |
Care of Family has 7457 (17.5%) zeros | Zeros |
Salary has 15618 (36.7%) zeros | Zeros |
Reproduction
| Analysis started | 2022-02-06 02:42:03.850673 |
|---|---|
| Analysis finished | 2022-02-06 02:42:25.166163 |
| Duration | 21.32 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
Age
Real number (ℝ≥0)
| Distinct | 40 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.03676972 |
| Minimum | 7 |
|---|---|
| Maximum | 47 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 166.3 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 17 |
| Q1 | 22 |
| median | 25 |
| Q3 | 28 |
| 95-th percentile | 34 |
| Maximum | 47 |
| Range | 40 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 5.016754953 |
|---|---|
| Coefficient of variation (CV) | 0.2003754881 |
| Kurtosis | -0.001978715106 |
| Mean | 25.03676972 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.1949468627 |
| Sum | 1064939 |
| Variance | 25.16783026 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 25 | 3375 | 7.9% |
| 24 | 3293 | 7.7% |
| 23 | 3283 | 7.7% |
| 26 | 3266 | 7.7% |
| 27 | 3034 | 7.1% |
| 22 | 2945 | 6.9% |
| 28 | 2733 | 6.4% |
| 21 | 2538 | 6.0% |
| 29 | 2313 | 5.4% |
| 20 | 2212 | 5.2% |
| Other values (30) | 13543 |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 9 | 5 | < 0.1% |
| 10 | 14 | < 0.1% |
| 11 | 35 | 0.1% |
| 12 | 68 | 0.2% |
| 13 | 141 | 0.3% |
| 14 | 266 | 0.6% |
| 15 | 395 | 0.9% |
| 16 | 661 | |
| 17 | 1028 |
| Value | Count | Frequency (%) |
| 47 | 1 | < 0.1% |
| 46 | 2 | < 0.1% |
| 45 | 3 | < 0.1% |
| 44 | 4 | < 0.1% |
| 43 | 11 | < 0.1% |
| 42 | 27 | 0.1% |
| 41 | 33 | 0.1% |
| 40 | 61 | 0.1% |
| 39 | 106 | |
| 38 | 181 |
Gender
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 MiB |
| Female | |
|---|---|
| Male | |
| Other |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.104431645 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Female |
|---|---|
| 2nd row | Male |
| 3rd row | Female |
| 4th row | Female |
| 5th row | Other |
Common Values
| Value | Count | Frequency (%) |
| Female | 21370 | |
| Male | 16928 | |
| Other | 4237 | 10.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| female | 21370 | |
| male | 16928 | |
| other | 4237 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Location
Real number (ℝ≥0)
| Distinct | 373 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2119.255272 |
| Minimum | 2000 |
|---|---|
| Maximum | 2545 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 332.4 KiB |
Quantile statistics
| Minimum | 2000 |
|---|---|
| 5-th percentile | 2007 |
| Q1 | 2040 |
| median | 2083 |
| Q3 | 2145 |
| 95-th percentile | 2493 |
| Maximum | 2545 |
| Range | 545 |
| Interquartile range (IQR) | 105 |
Descriptive statistics
| Standard deviation | 122.3564468 |
|---|---|
| Coefficient of variation (CV) | 0.05773558683 |
| Kurtosis | 3.83442088 |
| Mean | 2119.255272 |
| Median Absolute Deviation (MAD) | 50 |
| Skewness | 2.022080736 |
| Sum | 90142523 |
| Variance | 14971.10007 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2011 | 306 | 0.7% |
| 2012 | 303 | 0.7% |
| 2013 | 300 | 0.7% |
| 2032 | 284 | 0.7% |
| 2017 | 282 | 0.7% |
| 2000 | 282 | 0.7% |
| 2016 | 282 | 0.7% |
| 2071 | 281 | 0.7% |
| 2025 | 279 | 0.7% |
| 2007 | 279 | 0.7% |
| Other values (363) | 39657 |
| Value | Count | Frequency (%) |
| 2000 | 282 | |
| 2001 | 264 | |
| 2002 | 254 | |
| 2003 | 261 | |
| 2004 | 269 | |
| 2005 | 270 | |
| 2006 | 272 | |
| 2007 | 279 | |
| 2008 | 276 | |
| 2009 | 251 |
| Value | Count | Frequency (%) |
| 2545 | 1 | < 0.1% |
| 2541 | 2 | < 0.1% |
| 2536 | 2 | < 0.1% |
| 2533 | 3 | < 0.1% |
| 2531 | 5 | |
| 2530 | 4 | < 0.1% |
| 2529 | 6 | |
| 2528 | 7 | |
| 2527 | 3 | < 0.1% |
| 2526 | 12 |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 MiB |
| No | |
|---|---|
| White | |
| Middle East | |
| Hispanic | |
| Asian | |
| Other values (3) |
Length
| Max length | 11 |
|---|---|
| Median length | 5 |
| Mean length | 4.657646644 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | No |
|---|---|
| 2nd row | No |
| 3rd row | White |
| 4th row | Asian |
| 5th row | Middle East |
Common Values
| Value | Count | Frequency (%) |
| No | 19350 | |
| White | 7682 | 18.1% |
| Middle East | 3819 | 9.0% |
| Hispanic | 3011 | 7.1% |
| Asian | 2966 | 7.0% |
| Other | 2845 | 6.7% |
| Aboriginal | 1939 | 4.6% |
| African | 923 | 2.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 19350 | |
| white | 7682 | 16.6% |
| middle | 3819 | 8.2% |
| east | 3819 | 8.2% |
| hispanic | 3011 | 6.5% |
| asian | 2966 | 6.4% |
| other | 2845 | 6.1% |
| aboriginal | 1939 | 4.2% |
| african | 923 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Religion
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| Christian | |
|---|---|
| Catholic | |
| Islam | |
| Buddhism | |
| Hinduism | |
| Other values (2) |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 7.501492888 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Buddhism |
|---|---|
| 2nd row | Catholic |
| 3rd row | Buddhism |
| 4th row | Catholic |
| 5th row | Buddhism |
Common Values
| Value | Count | Frequency (%) |
| Christian | 11241 | |
| Catholic | 10758 | |
| Islam | 7171 | |
| Buddhism | 7072 | |
| Hinduism | 3432 | 8.1% |
| Other | 2078 | 4.9% |
| No | 783 | 1.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| christian | 11241 | |
| catholic | 10758 | |
| islam | 7171 | |
| buddhism | 7072 | |
| hinduism | 3432 | 8.1% |
| other | 2078 | 4.9% |
| no | 783 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Citizen
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 41.7 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 34495 | |
| False | 8040 | 18.9% |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.4 MiB |
| 0.0 | |
|---|---|
| 4.0 | |
| 3.0 | |
| 1.0 | |
| 2.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 4.0 |
| 4th row | 0.0 |
| 5th row | 3.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 23348 | |
| 4.0 | 8549 | 20.1% |
| 3.0 | 4605 | 10.8% |
| 1.0 | 3660 | 8.6% |
| 2.0 | 2373 | 5.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 23348 | |
| 4.0 | 8549 | 20.1% |
| 3.0 | 4605 | 10.8% |
| 1.0 | 3660 | 8.6% |
| 2.0 | 2373 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| Single | |
|---|---|
| Married |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 6.393652286 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Married |
|---|---|
| 2nd row | Married |
| 3rd row | Married |
| 4th row | Married |
| 5th row | Single |
Common Values
| Value | Count | Frequency (%) |
| Single | 25791 | |
| Married | 16744 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| single | 25791 | |
| married | 16744 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 41.7 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 25284 | |
| False | 17251 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 41.7 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 34909 | |
| True | 7626 | 17.9% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 MiB |
| No | |
|---|---|
| Unincorporated | |
| Incorporated | 380 |
Length
| Max length | 14 |
|---|---|
| Median length | 2 |
| Mean length | 4.133584107 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | No |
|---|---|
| 2nd row | Unincorporated |
| 3rd row | Unincorporated |
| 4th row | No |
| 5th row | Unincorporated |
Common Values
| Value | Count | Frequency (%) |
| No | 34909 | |
| Unincorporated | 7246 | 17.0% |
| Incorporated | 380 | 0.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 34909 | |
| unincorporated | 7246 | 17.0% |
| incorporated | 380 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 25285 |
|---|---|
| Distinct (%) | 59.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.81556266 |
| Minimum | 0 |
|---|---|
| Maximum | 57.0263113 |
| Zeros | 17251 |
| Zeros (%) | 40.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 332.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 30.04602315 |
| Q3 | 36.0281862 |
| 95-th percentile | 41.83458562 |
| Maximum | 57.0263113 |
| Range | 57.0263113 |
| Interquartile range (IQR) | 36.0281862 |
Descriptive statistics
| Standard deviation | 17.61909881 |
|---|---|
| Coefficient of variation (CV) | 0.8464387488 |
| Kurtosis | -1.761455601 |
| Mean | 20.81556266 |
| Median Absolute Deviation (MAD) | 9.963197792 |
| Skewness | -0.2422505907 |
| Sum | 885389.9578 |
| Variance | 310.432643 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 17251 | |
| 39.36500508 | 1 | < 0.1% |
| 38.80634581 | 1 | < 0.1% |
| 36.1772221 | 1 | < 0.1% |
| 32.46060496 | 1 | < 0.1% |
| 38.95036779 | 1 | < 0.1% |
| 42.58812308 | 1 | < 0.1% |
| 34.37126103 | 1 | < 0.1% |
| 29.3501262 | 1 | < 0.1% |
| 37.24509283 | 1 | < 0.1% |
| Other values (25275) | 25275 |
| Value | Count | Frequency (%) |
| 0 | 17251 | |
| 10.24621082 | 1 | < 0.1% |
| 15.77241063 | 1 | < 0.1% |
| 16.32217067 | 1 | < 0.1% |
| 16.35021306 | 1 | < 0.1% |
| 16.71171916 | 1 | < 0.1% |
| 17.3304094 | 1 | < 0.1% |
| 17.42625478 | 1 | < 0.1% |
| 17.81178691 | 1 | < 0.1% |
| 18.09425014 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 57.0263113 | 1 | |
| 56.16138369 | 1 | |
| 55.18991882 | 1 | |
| 54.91622389 | 1 | |
| 54.38054297 | 1 | |
| 53.96436293 | 1 | |
| 53.78875744 | 1 | |
| 53.3596931 | 1 | |
| 52.43915497 | 1 | |
| 52.38207826 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 41.7 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 27009 | |
| True | 15526 |
| Distinct | 39 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.8706477 |
| Minimum | 2 |
|---|---|
| Maximum | 40 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 166.3 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 13 |
| median | 17 |
| Q3 | 33 |
| 95-th percentile | 37 |
| Maximum | 40 |
| Range | 38 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 10.15207438 |
|---|---|
| Coefficient of variation (CV) | 0.4641871846 |
| Kurtosis | -1.610634184 |
| Mean | 21.8706477 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.3351281803 |
| Sum | 930268 |
| Variance | 103.0646143 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=39)
| Value | Count | Frequency (%) |
| 13 | 3321 | 7.8% |
| 15 | 3246 | 7.6% |
| 14 | 3236 | 7.6% |
| 34 | 2894 | 6.8% |
| 12 | 2818 | 6.6% |
| 35 | 2789 | 6.6% |
| 16 | 2635 | 6.2% |
| 33 | 2489 | 5.9% |
| 36 | 2303 | 5.4% |
| 11 | 2129 | 5.0% |
| Other values (29) | 14675 |
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 10 | < 0.1% |
| 5 | 16 | < 0.1% |
| 6 | 61 | 0.1% |
| 7 | 238 | 0.6% |
| 8 | 479 | 1.1% |
| 9 | 843 | 2.0% |
| 10 | 1520 | |
| 11 | 2129 |
| Value | Count | Frequency (%) |
| 40 | 24 | 0.1% |
| 39 | 185 | 0.4% |
| 38 | 598 | 1.4% |
| 37 | 1377 | |
| 36 | 2303 | |
| 35 | 2789 | |
| 34 | 2894 | |
| 33 | 2489 | |
| 32 | 1821 | |
| 31 | 1121 | 2.6% |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.512260491 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 7457 |
| Zeros (%) | 17.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 166.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.059779884 |
|---|---|
| Coefficient of variation (CV) | 0.7007918875 |
| Kurtosis | -0.174466929 |
| Mean | 1.512260491 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.4436011901 |
| Sum | 64324 |
| Variance | 1.123133403 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 14955 | |
| 2 | 12805 | |
| 0 | 7457 | |
| 3 | 5694 | 13.4% |
| 4 | 1449 | 3.4% |
| 5 | 169 | 0.4% |
| 6 | 6 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 7457 | |
| 1 | 14955 | |
| 2 | 12805 | |
| 3 | 5694 | 13.4% |
| 4 | 1449 | 3.4% |
| 5 | 169 | 0.4% |
| 6 | 6 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 6 | < 0.1% |
| 5 | 169 | 0.4% |
| 4 | 1449 | 3.4% |
| 3 | 5694 | 13.4% |
| 2 | 12805 | |
| 1 | 14955 | |
| 0 | 7457 |
Domestic Activities Hours
Real number (ℝ≥0)
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.603197367 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 340 |
| Zeros (%) | 0.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 166.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.4085062 |
|---|---|
| Coefficient of variation (CV) | 0.3909045374 |
| Kurtosis | -0.2592881319 |
| Mean | 3.603197367 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.07550304718 |
| Sum | 153262 |
| Variance | 1.983889715 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 4 | 11033 | |
| 3 | 10952 | |
| 5 | 7440 | |
| 2 | 6683 | |
| 6 | 2943 | 6.9% |
| 1 | 2337 | 5.5% |
| 7 | 743 | 1.7% |
| 0 | 340 | 0.8% |
| 8 | 64 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 340 | 0.8% |
| 1 | 2337 | 5.5% |
| 2 | 6683 | |
| 3 | 10952 | |
| 4 | 11033 | |
| 5 | 7440 | |
| 6 | 2943 | 6.9% |
| 7 | 743 | 1.7% |
| 8 | 64 | 0.2% |
| Value | Count | Frequency (%) |
| 8 | 64 | 0.2% |
| 7 | 743 | 1.7% |
| 6 | 2943 | 6.9% |
| 5 | 7440 | |
| 4 | 11033 | |
| 3 | 10952 | |
| 2 | 6683 | |
| 1 | 2337 | 5.5% |
| 0 | 340 | 0.8% |
Volunteered Hours
Real number (ℝ≥0)
| Distinct | 21 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.997696015 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 10 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 166.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 6 |
| median | 8 |
| Q3 | 10 |
| 95-th percentile | 12 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.541524121 |
|---|---|
| Coefficient of variation (CV) | 0.3177820358 |
| Kurtosis | 0.0550381149 |
| Mean | 7.997696015 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.2676954579 |
| Sum | 340182 |
| Variance | 6.459344858 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 8 | 6588 | |
| 7 | 6504 | |
| 9 | 5769 | |
| 6 | 5454 | |
| 10 | 4527 | |
| 5 | 3616 | |
| 11 | 3080 | |
| 4 | 2014 | 4.7% |
| 12 | 1882 | 4.4% |
| 13 | 1049 | 2.5% |
| Other values (11) | 2052 | 4.8% |
| Value | Count | Frequency (%) |
| 0 | 10 | < 0.1% |
| 1 | 56 | 0.1% |
| 2 | 275 | 0.6% |
| 3 | 849 | 2.0% |
| 4 | 2014 | 4.7% |
| 5 | 3616 | |
| 6 | 5454 | |
| 7 | 6504 | |
| 8 | 6588 | |
| 9 | 5769 |
| Value | Count | Frequency (%) |
| 20 | 2 | < 0.1% |
| 19 | 8 | < 0.1% |
| 18 | 8 | < 0.1% |
| 17 | 32 | 0.1% |
| 16 | 85 | 0.2% |
| 15 | 227 | 0.5% |
| 14 | 500 | 1.2% |
| 13 | 1049 | 2.5% |
| 12 | 1882 | |
| 11 | 3080 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.412954038 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 332.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 4 |
| Q3 | 7 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.417299974 |
|---|---|
| Coefficient of variation (CV) | 0.7743792356 |
| Kurtosis | -1.295012157 |
| Mean | 4.412954038 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.4799368925 |
| Sum | 187705 |
| Variance | 11.67793912 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 15367 | |
| 10 | 6566 | |
| 4 | 2986 | 7.0% |
| 3 | 2929 | 6.9% |
| 2 | 2867 | 6.7% |
| 5 | 2862 | 6.7% |
| 6 | 2638 | 6.2% |
| 7 | 2359 | 5.5% |
| 8 | 2087 | 4.9% |
| 9 | 1874 | 4.4% |
| Value | Count | Frequency (%) |
| 1 | 15367 | |
| 2 | 2867 | 6.7% |
| 3 | 2929 | 6.9% |
| 4 | 2986 | 7.0% |
| 5 | 2862 | 6.7% |
| 6 | 2638 | 6.2% |
| 7 | 2359 | 5.5% |
| 8 | 2087 | 4.9% |
| 9 | 1874 | 4.4% |
| 10 | 6566 |
| Value | Count | Frequency (%) |
| 10 | 6566 | |
| 9 | 1874 | 4.4% |
| 8 | 2087 | 4.9% |
| 7 | 2359 | 5.5% |
| 6 | 2638 | 6.2% |
| 5 | 2862 | 6.7% |
| 4 | 2986 | 7.0% |
| 3 | 2929 | 6.9% |
| 2 | 2867 | 6.7% |
| 1 | 15367 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.4 MiB |
| 1 | |
|---|---|
| 0 | |
| 2 | |
| 3 | |
| 4 | 247 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 17650 | |
| 0 | 11064 | |
| 2 | 10775 | |
| 3 | 2799 | 6.6% |
| 4 | 247 | 0.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 17650 | |
| 0 | 11064 | |
| 2 | 10775 | |
| 3 | 2799 | 6.6% |
| 4 | 247 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Home Internet
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 41.7 KiB |
| True | |
|---|---|
| False | 414 |
| Value | Count | Frequency (%) |
| True | 42121 | |
| False | 414 | 1.0% |
Dwell Type
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.8 MiB |
| With mortgage | |
|---|---|
| Owned outright | |
| Other | |
| Rent-free | |
| Rented |
Length
| Max length | 14 |
|---|---|
| Median length | 13 |
| Mean length | 11.07440931 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | With mortgage |
|---|---|
| 2nd row | Owned outright |
| 3rd row | With mortgage |
| 4th row | Rent-free |
| 5th row | Other |
Common Values
| Value | Count | Frequency (%) |
| With mortgage | 19194 | |
| Owned outright | 8947 | |
| Other | 5367 | 12.6% |
| Rent-free | 5091 | 12.0% |
| Rented | 3936 | 9.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| with | 19194 | |
| mortgage | 19194 | |
| owned | 8947 | |
| outright | 8947 | |
| other | 5367 | 7.6% |
| rent-free | 5091 | 7.2% |
| rented | 3936 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 569 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18381.85729 |
| Minimum | 0 |
|---|---|
| Maximum | 120000 |
| Zeros | 15618 |
| Zeros (%) | 36.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 332.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 13400 |
| Q3 | 34900 |
| 95-th percentile | 50000 |
| Maximum | 120000 |
| Range | 120000 |
| Interquartile range (IQR) | 34900 |
Descriptive statistics
| Standard deviation | 18902.50256 |
|---|---|
| Coefficient of variation (CV) | 1.028323866 |
| Kurtosis | -0.3836916549 |
| Mean | 18381.85729 |
| Median Absolute Deviation (MAD) | 13400 |
| Skewness | 0.6723427038 |
| Sum | 781872300 |
| Variance | 357304603.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 15618 | |
| 40000 | 796 | 1.9% |
| 30000 | 785 | 1.8% |
| 50000 | 649 | 1.5% |
| 20000 | 535 | 1.3% |
| 60000 | 384 | 0.9% |
| 10000 | 322 | 0.8% |
| 43400 | 273 | 0.6% |
| 46100 | 244 | 0.6% |
| 45900 | 238 | 0.6% |
| Other values (559) | 22691 |
| Value | Count | Frequency (%) |
| 0 | 15618 | |
| 100 | 8 | < 0.1% |
| 200 | 25 | 0.1% |
| 300 | 23 | 0.1% |
| 400 | 28 | 0.1% |
| 500 | 20 | < 0.1% |
| 600 | 54 | 0.1% |
| 700 | 42 | 0.1% |
| 800 | 19 | < 0.1% |
| 900 | 31 | 0.1% |
| Value | Count | Frequency (%) |
| 120000 | 1 | < 0.1% |
| 110000 | 7 | < 0.1% |
| 100000 | 28 | 0.1% |
| 90000 | 54 | 0.1% |
| 80000 | 123 | 0.3% |
| 70000 | 214 | |
| 60000 | 384 | |
| 59100 | 1 | < 0.1% |
| 58700 | 3 | < 0.1% |
| 58100 | 1 | < 0.1% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.